ABSTRACT: To address the multicoupling effects of stress response in UAV landing gear during touchdown, this study employs a multivariate nonlinear regression approach for multi-objective optimization ...
Varanasi: The three-day Indo-French seminar on ‘Recent Developments in Non-linear Optimization Problems and Applications and the international conference on Non-linear Optimization and Applications ...
Modern semiconductor chip design faces growing complexity due to numerous timing scenarios driven by varying operating ...
Abstract: Combinatorial optimization is a promising area for achieving quantum speedup. The quantum approximate optimization algorithm (QAOA) is designed to search for low-energy states of the Ising ...
Abstract: Multiobjective reinforcement learning (MORL) aims to seek a complete Pareto front (PF) with different compromise policies in multiobjective Markov decision processes (MOMDPs). However, most ...
Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Subscribe to our ...
15-210 aims to teach methods for designing, analyzing, and programming sequential and parallel algorithms and data structures. The emphasis is on teaching fundamental concepts applicable across a wide ...